Constructing high-quality query-response pairs from custom corpus is crucial for supervised fine-tuning (SFT) large language models (LLMs) in many applications, like creating domain-specific AI assistants or roleplaying agents. However, sourcing this data through human annotation is costly, and existing automated methods often fail to capture the diverse range of contextual granularity and tend to produce homogeneous data. To tackle these issues, we introduce a novel method named AugCon, capable of automatically generating context-driven SFT data across multiple levels of granularity with high diversity, quality and fidelity. AugCon begins by generating queries using the Context-Split-Tree (CST), an innovative approach for recursively deriving queries and splitting context to cover full granularity. Then, we train a scorer through contrastive learning to collaborate with CST to rank and refine queries. Finally, a synergistic integration of self-alignment and self-improving is introduced to obtain high-fidelity responses. Extensive experiments are conducted incorporating both human and automatic evaluations, encompassing a test scenario and four widely-used benchmarks in English and Chinese. The results highlight the significant advantages of AugCon in producing high diversity, quality, and fidelity SFT data against several state-of-the-art methods. All of our code, dataset, and fine-tuned model will be available at: https://github.com/quanshr/AugCon.

"We have stability in terms of policy framework, a huge startup ecosystem and a rebalancing of global value chain coming in over the last three years. India is lagging behind in the global robotics race and cannot afford to be left behind in terms of manufacturing. Speaking at the'Building Robotics Ecosystem for the Developing World: Challenges and Opportunities' at the Bengaluru Tech Summit 2022, Volvo Group India president Kamal Bali said that India is currently in its sweet spot to benefit majorly in the manufacturing sector. "We have stability in terms of policy framework, a huge startup ecosystem and a rebalancing of global value chain coming in over the last three years. India stands to gain the most.

It has a transforming impact on International trade and affects the international trade in the number of ways, it increases the Economic growth and provides new opportunities for international trade, it affects the type and quality of economic growth with international trade implications. Artificial intelligence changing global value chains and international trade patterns, the World trade organization will play a critical role in further shaping how is developed and deployed globally. Artificial Intelligence has an impact on global value chains, which can be used to improve predictions of future trends – changes in consumer demand, and how to manage risk along the supply chains. Stocks in the warehouse can be managed more efficiently to improve the accuracy of just in time manufacturing and delivery, Robotics aid in packing and inventory inspections. AI has a great impact on the digital platform used for international trade marketing.

Artificial intelligence (AI) stands to have a transformative impact on international trade. Already, specific applications in areas such as data analytics and translation services are reducing barriers to trade. At the same time, there are challenges in the development of AI that international trade rules could address. General AI refers to systems that can self-learn from experience with "humanlike breadth" and surpass human performance on tasks. General AI raises broad existential concerns, but remains a technology in the distant future.

This week, as leaders gather in Davos, Switzerland, to discuss how to "create a shared future in a fractured world," many of the conversations will center on the role of humans and robots in a future of automation or augmentation. The teaser for a breakfast conversation that Microsoft is hosting on the promise and pitfalls of artificial intelligence captures the challenges and the opportunity well: "AI offers profound potential benefits and the opportunity to help tackle some of the world's most pressing issues including accelerating economic growth, tackling the urgent issues of environmental sustainability, and transforming healthcare," it reads. "But the accelerating pace of technology-driven change is also creating disruption and anxiety. It risks contributing to a sense of a fractured world, between a small group of people who benefit and a broader group of people who fear that they are being left behind. We need to come together to chart a path forward that ensures AI contributes to building a positive shared future for every community."

Disruption in the workforce is hardly a new phenomenon. Mechanisation of manufacturing, mass production and the advent of the internet and computers have all changed the way that work is done. Earlier waves of industrialisation have primarily affected low-skilled manual labour and past improvements in technology have typically made jobs at the lower end of the skills spectrum obsolete – for example, flight navigators but not pilots; typists but not data analysts. There is wide acceptance that this has led to productivity improvements and higher economic growth – new jobs were generated that led to improvements in standards of living. The benefits have overwhelmingly outweighed the costs and there has never been a better time to be a human being. The current wave, characterised by automation becoming smarter, machine-to-machine communication, artificial intelligence and continued technological improvements – and otherwise described at the fourth industrial revolution – still brings uncertainty and threatens a broader range of occupations and skill levels.